Measuring health status and symptom burden using a web-based mHealth application in patients with heart failure.

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BACKGROUND Symptoms of heart failure markedly impair a patient s health status The aim of this study was to identify predictors of health status in a sample of racially and ethnically diverse patients with heart failure using a web based mobile health application mi Symptoms METHODS We conducted a cross sectional study at an urban academic medical center Patients with heart failure self reported symptoms using validated symptom instruments e g patient reported outcome measurement information system by way of the mobile health application mi Symptoms The primary study outcome was health status measured with the Kansas City cardiomyopathy questionnaire clinical summary score Data were analyzed using descriptive statistics and multiple linear regression RESULTS The mean age of the sample n 168 was 58 7 12 5 years 37 were women 36 were Black 36 identified as Hispanic Latino 48 were classified as New York Heart Association class III and 44 reported not having enough income to make ends meet Predictors of better health status in heart failure included higher physical function 0 89 p 0 001 and ability to participate in social roles and activities 0 58 p 0 002 and predictors of poorer health status were New York Heart Association class IV 11 68 p 0 006 and dyspnea 0 77 pUnder0 001 The predictors accounted for 73 of the variance in health status CONCLUSION Patient centered interventions should focus on modifiable risk factors that reduce dyspnea improve functional status and enhance engagement in social roles to improve the health status of patients with heart failure
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